The AI/ML Engineer designs, builds, and delivers end-to-end AI/ML solutions to solve real engineering and product problems. This role is engineering-first, applying data science and machine learning as tools within well-engineered software systems.
Engineers in this role are expected to contribute across the full lifecycle — design, development, validation, and production handoff — working closely with product teams and the MLOps function.
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Key Responsibilities:
- AI & ML Development
Basic Qualifications:
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
- A minimum of 8 years of software engineering fundamentals with a track record of shipping production MLÂ systems end-to-end
- Demonstrated ownership of architecture or design for non-trivial AI/ML solutions
- Proficiency in Python and common ML libraries
- Ability to work across data, modeling, and software concerns, and to lead others doing the same
- Experience mentoring or technically leading other engineers
- Degree in engineering, computer science, applied mathematics, or a related field
Preferred Qualifications:
- Experience with cloud-based data or ML platforms
- Experience building agentic solutions
- Deep familiarity with MLOps practices (CI/CD for ML, monitoring, retraining)
- Frontend or full-stack experience supporting AI tools
- Experience working in regulated or industrial engineering environments
- Experience influencing technical direction across multiple teams
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